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5 March 2021 Non-invasive estimation of intracranial pressure by fast diffuse correlation spectroscopy: a multi-center study
Jonas B. Fischer, Susanna Tagliabue, Federica Maruccia, Amelia Jiménez-Sánchez, Eashani Sathialingam, Wesley B. Baker, Aykut Eken, Ameer Ghouse, Anna Rey-Perez, Marcelino Báguena, Katiuska Rosas, Ofer Sadan, Prem A. Kandiah, Owen B. Samuels, Ramani Balu, Riccardo Zucca, Udo M. Weigel, David R. Busch, Erin M. Buckley, Arjun G. Yodh, Daniel J. Licht, W. Andrew Kofke, Maria A. Poca, Gemma Piella, Juan Sahuquillo, Turgut Durduran
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Proceedings Volume 11639, Optical Tomography and Spectroscopy of Tissue XIV; 1163912 (2021) https://doi.org/10.1117/12.2577561
Event: SPIE BiOS, 2021, Online Only
Abstract
Intracranial pressure (ICP) is a critical biomarker measured invasively with the risk of complications. There is a need for non-invasive methods to estimate ICP. Diffuse correlation spectroscopy (DCS) allows the non-invasive measurement of pulsatile, microvascular cerebral blood flow which contains information about ICP. Recently, our proof-of-concept study used machine-learning to deduce ICP from DCS signals to estimate ICP resulting in excellent linearity and a reasonable accuracy (±4 mmHg). Here, we extend to a multi-center (three centers) data set of adults with acute brain injury (N=34). We will present the results from the complete data set as new data flows in.
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Jonas B. Fischer, Susanna Tagliabue, Federica Maruccia, Amelia Jiménez-Sánchez, Eashani Sathialingam, Wesley B. Baker, Aykut Eken, Ameer Ghouse, Anna Rey-Perez, Marcelino Báguena, Katiuska Rosas, Ofer Sadan, Prem A. Kandiah, Owen B. Samuels, Ramani Balu, Riccardo Zucca, Udo M. Weigel, David R. Busch, Erin M. Buckley, Arjun G. Yodh, Daniel J. Licht, W. Andrew Kofke, Maria A. Poca, Gemma Piella, Juan Sahuquillo, and Turgut Durduran "Non-invasive estimation of intracranial pressure by fast diffuse correlation spectroscopy: a multi-center study", Proc. SPIE 11639, Optical Tomography and Spectroscopy of Tissue XIV, 1163912 (5 March 2021); https://doi.org/10.1117/12.2577561
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KEYWORDS
Spectroscopy
Data modeling
Blood circulation
Data analysis
Machine learning
Neural networks
Optical testing
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